Capacitive Touch Panel Object Positioning with Motion Estimation Vector
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Solution Overview
Problem
Capacitive touch panels face inaccuracies and noise interference from environmental factors, leading to jitter and misjudgment in object trajectory detection.
Innovation Solution
An object positioning method that calculates a motion estimation vector from positioning and sensing coordinates, entering a point-locked mode when the vector's length is below a predetermined distance, and updates the positioning coordinate when the vector's length exceeds this distance, thereby reducing noise interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional capacitive sensing is used to detect touch position, then the touch panel can respond to user input, but environmental noise causes jitter and misjudgment in object trajectory detection
Solution Approach 1:
The patent applies preliminary action by predicting the next expected position of the object based on historical trajectory data before actual touch detection occurs. This prediction is calculated in advance and used as a reference to compare against actual sensing coordinates, allowing the system to filter out noise-induced deviations by comparing predicted vs. actual positions rather than directly using raw sensing data.
Solution Approach 2:
The patent implements feedback by continuously comparing the predicted object position with the actual sensing coordinate and using this comparison to adjust and correct the detected trajectory. The system feeds back the difference between predicted and actual positions to refine subsequent predictions and filter out noise, creating a closed-loop system that progressively improves detection accuracy.
2Reliability
If noise filtering is applied to reduce jitter, then trajectory accuracy improves, but system complexity increases due to additional calculation steps
Solution Approach 1:
The patent applies self-service by having the system use its own historical trajectory data to generate predictions that automatically serve as the filtering mechanism. The predicted position is derived from the object's own movement pattern, eliminating the need for external reference systems or complex multi-sensor fusion algorithms, thus maintaining relatively simple system architecture while achieving noise filtering.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method enhances the accuracy and stability of capacitive touch panels by minimizing the impact of environmental noise on object trajectory detection, reducing jitter and improving response precision.
Implementation Method 1
the main working mechanism of the capacitive touch panel is to determine position and movement trajectory of the object. The structure of the touch panel can be simply divided into upper and lower surfaces of the electrodes respectively formed by the electrode lines interlaced. When finger of the user touch the screen, an extremely small capacitor is formed between the electrode lines and user's finger, and thus position touched by the user can determined through detecting change of capacitor value.
Data Source
AI summary
An object positioning method for touch panel is disclosed. In the method, an amount of sensing of a sensing signal can be detected and a sensing coordinate of an object can be obtained based on the detection. A positioning coordinate of the object can be locked in a point-locked mode when the amount of sensing of the sensing signal decreases continuously to be larger than a first threshold time and the amount of sensing of the sensing signal is smaller than a first sensing threshold value. Otherwise, the point-locked mode of the positioning coordinate of the object can be unlocked when the amount of sensing of the sensing signal is larger than a first sensing threshold value.